mirror of
https://github.com/openclaw/openclaw.git
synced 2026-06-06 05:51:15 +08:00
144 lines
4.5 KiB
TypeScript
144 lines
4.5 KiB
TypeScript
// Vllm plugin module implements stream behavior.
|
|
import type { StreamFn } from "openclaw/plugin-sdk/agent-core";
|
|
import type { ProviderWrapStreamFnContext } from "openclaw/plugin-sdk/plugin-entry";
|
|
import { normalizeProviderId } from "openclaw/plugin-sdk/provider-model-shared";
|
|
import {
|
|
createPayloadPatchStreamWrapper,
|
|
isOpenAICompatibleThinkingEnabled,
|
|
} from "openclaw/plugin-sdk/provider-stream-shared";
|
|
import {
|
|
resolveVllmQwenThinkingFormatFromCompat,
|
|
type VllmQwenThinkingFormat,
|
|
} from "./thinking-policy.js";
|
|
|
|
type VllmThinkingLevel = ProviderWrapStreamFnContext["thinkingLevel"];
|
|
|
|
function isVllmProviderId(providerId: string): boolean {
|
|
return normalizeProviderId(providerId) === "vllm";
|
|
}
|
|
|
|
function resolveVllmQwenThinkingFormat(
|
|
ctx: Pick<ProviderWrapStreamFnContext, "model">,
|
|
): VllmQwenThinkingFormat | undefined {
|
|
return resolveVllmQwenThinkingFormatFromCompat(ctx.model?.compat);
|
|
}
|
|
|
|
function setQwenChatTemplateThinking(payload: Record<string, unknown>, enabled: boolean): void {
|
|
const existing = payload.chat_template_kwargs;
|
|
if (existing && typeof existing === "object" && !Array.isArray(existing)) {
|
|
const next: Record<string, unknown> = {
|
|
...(existing as Record<string, unknown>),
|
|
enable_thinking: enabled,
|
|
};
|
|
if (!Object.hasOwn(next, "preserve_thinking")) {
|
|
next.preserve_thinking = true;
|
|
}
|
|
payload.chat_template_kwargs = next;
|
|
return;
|
|
}
|
|
payload.chat_template_kwargs = {
|
|
enable_thinking: enabled,
|
|
preserve_thinking: true,
|
|
};
|
|
}
|
|
|
|
function isVllmNemotronModel(model: { api?: unknown; provider?: unknown; id?: unknown }): boolean {
|
|
return (
|
|
model.api === "openai-completions" &&
|
|
typeof model.provider === "string" &&
|
|
normalizeProviderId(model.provider) === "vllm" &&
|
|
typeof model.id === "string" &&
|
|
/\bnemotron-3(?:[-_](?:nano|super|ultra))?\b/i.test(model.id)
|
|
);
|
|
}
|
|
|
|
function setNemotronThinkingOffChatTemplateKwargs(payload: Record<string, unknown>): void {
|
|
const defaults = {
|
|
enable_thinking: false,
|
|
force_nonempty_content: true,
|
|
};
|
|
const existing = payload.chat_template_kwargs;
|
|
payload.chat_template_kwargs =
|
|
existing && typeof existing === "object" && !Array.isArray(existing)
|
|
? {
|
|
...defaults,
|
|
...(existing as Record<string, unknown>),
|
|
}
|
|
: defaults;
|
|
}
|
|
|
|
export function createVllmQwenThinkingWrapper(params: {
|
|
baseStreamFn: StreamFn | undefined;
|
|
format: VllmQwenThinkingFormat;
|
|
thinkingLevel: VllmThinkingLevel;
|
|
}): StreamFn {
|
|
return createPayloadPatchStreamWrapper(
|
|
params.baseStreamFn,
|
|
({ payload: payloadObj, options }) => {
|
|
const enableThinking = isOpenAICompatibleThinkingEnabled({
|
|
thinkingLevel: params.thinkingLevel,
|
|
options,
|
|
});
|
|
if (params.format === "chat-template") {
|
|
setQwenChatTemplateThinking(payloadObj, enableThinking);
|
|
} else {
|
|
payloadObj.enable_thinking = enableThinking;
|
|
}
|
|
delete payloadObj.reasoning_effort;
|
|
delete payloadObj.reasoningEffort;
|
|
delete payloadObj.reasoning;
|
|
},
|
|
{
|
|
shouldPatch: ({ model }) => model.api === "openai-completions" && (model.reasoning ?? true),
|
|
},
|
|
);
|
|
}
|
|
|
|
export function createVllmProviderThinkingWrapper(params: {
|
|
baseStreamFn: StreamFn | undefined;
|
|
qwenFormat?: VllmQwenThinkingFormat;
|
|
thinkingLevel: VllmThinkingLevel;
|
|
}): StreamFn {
|
|
const qwenWrapped = params.qwenFormat
|
|
? createVllmQwenThinkingWrapper({
|
|
baseStreamFn: params.baseStreamFn,
|
|
format: params.qwenFormat,
|
|
thinkingLevel: params.thinkingLevel,
|
|
})
|
|
: params.baseStreamFn;
|
|
return createPayloadPatchStreamWrapper(
|
|
qwenWrapped,
|
|
({ payload: payloadObj }) => {
|
|
setNemotronThinkingOffChatTemplateKwargs(payloadObj);
|
|
},
|
|
{
|
|
shouldPatch: ({ model }) =>
|
|
model.api === "openai-completions" &&
|
|
params.thinkingLevel === "off" &&
|
|
isVllmNemotronModel(model),
|
|
},
|
|
);
|
|
}
|
|
|
|
export function wrapVllmProviderStream(ctx: ProviderWrapStreamFnContext): StreamFn | undefined {
|
|
if (!isVllmProviderId(ctx.provider) || (ctx.model && ctx.model.api !== "openai-completions")) {
|
|
return undefined;
|
|
}
|
|
const qwenFormat = resolveVllmQwenThinkingFormat(ctx);
|
|
const shouldHandleNemotron =
|
|
ctx.thinkingLevel === "off" &&
|
|
isVllmNemotronModel({
|
|
api: "openai-completions",
|
|
provider: ctx.provider,
|
|
id: ctx.modelId,
|
|
});
|
|
if (!qwenFormat && !shouldHandleNemotron) {
|
|
return undefined;
|
|
}
|
|
return createVllmProviderThinkingWrapper({
|
|
baseStreamFn: ctx.streamFn,
|
|
qwenFormat,
|
|
thinkingLevel: ctx.thinkingLevel,
|
|
});
|
|
}
|